- Type Experience
- Level Advanced
- Time Weeks
Applied Data Science Camp - Mentor 2020
Issued by
ERICSSON
In partnership with Combient Mix and Ericsson Global Technology and Learning and Development, Mentors volunteered 50+ hours over the 11-week program to share their expertise and experiences in applying data science and machine learning to advance the AI/ML capabilities with participants in the program and specifically in their project teams. In the process, mentors strengthened their mentoring and teaching skills, collaboration and professional networking, and technical capabilities.
- Type Experience
- Level Advanced
- Time Weeks
Skills
- Ability To Teach
- A/B Testing
- Anomaly Detection
- Answering Questions
- Basic Python Programming
- Business Collaboration
- Clustering Techniques
- Coaching & Mentoring
- Cultural Empathy
- Data Cleaning And Modelling
- Dimensionality Reduction
- Jupyter Hub
- Jupyter Notebook
- K-Nearest Neighbors
- Linear Regression
- Pandas
- Random Forest
- Shallow Neural Networks
- Supervised Learning
- Unsupervised Learning
Earning Criteria
-
For each of the weeks in the self-paced part of the program, reviewed course materials and weekly assignments and be prepared to discuss them with your project team. For the project phase of the program, become familiar with the use case assigned to the project team as well as the supporting data and guided participants to apply the data science process to the use case to develop a solution. Four to six hours per week were spent supporting project teams for the 11-week program.